Intelligent Systems, Control and Automation: Science and Engineering

Quantum Neural Computation

Authors: Ivancevic, Vladimir G., Ivancevic, Tijana

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  • Details the state-of-the-art in quantum neural computation
  • Combines quantum computation with neural computation
  • Offers a blueprint for the future quantum brain
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eBook $229.00
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  • ISBN 978-90-481-3350-5
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Hardcover $299.00
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About this book

Quantum Neural Computation is a graduate-level monographic textbook. It presents a comprehensive introduction, both non-technical and technical, into modern quantum neural computation. Classical computing systems perform classical computations (i.e., Boolean operations, such as AND, OR, NOT gates) using devices that can be described classically (e.g., MOSFETs). On the other hand, quantum computing systems perform classical computations using quantum devices (quantum dots), that is, devices that can be described only using quantum mechanics. Any information transfer between such computing systems involves a state measurement.

This book describes this information transfer at the edge of classical and quantum chaos and turbulence, where mysterious quantum-mechanical linearity meets the brain's even more mysterious nonlinear complexity, in order to perform super–high–speed and error–free computations. This volume describes a crossroad between quantum field theory, brain science and computational intelligence.

Table of contents (7 chapters)

Table of contents (7 chapters)

Buy this book

eBook $229.00
price for USA in USD
  • ISBN 978-90-481-3350-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts available
Hardcover $299.00
price for USA in USD
Softcover $299.00
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Quantum Neural Computation
Authors
Series Title
Intelligent Systems, Control and Automation: Science and Engineering
Series Volume
40
Copyright
2010
Publisher
Springer Netherlands
Copyright Holder
Springer Science+Business Media B.V.
eBook ISBN
978-90-481-3350-5
DOI
10.1007/978-90-481-3350-5
Hardcover ISBN
978-90-481-3349-9
Softcover ISBN
978-94-017-7777-3
Series ISSN
2213-8986
Edition Number
1
Number of Pages
XV, 929
Topics